USA flag logo/image

An Official Website of the United States Government

Company Information:

Company Name: JRM ENTERPRISES, INC.
City: Fredericksburg
State: VA
Zip+4: -
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Website URL: N/A
Phone: (540) 371-6590

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $1,619,046.00 18
SBIR Phase II $8,244,638.00 11

Award List:

A Robust Spectral Scene Generation Capability to Support Advanced Sensor Concepts and Algorithms

Award Year / Program / Phase: 2001 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Joseph Moulton, Jr., Principal Analyst
Award Amount: $100,000.00
Abstract:
JRM Technologies, Inc., in conjunction with Terrex and CG2, proposes todevelop a low-cost, physics-based spectral scene generator as a reliablealternative to field data collection for the development and evaluationof advanced hyper/multi-spectral sensor concepts and associated signalprocessing… More

Rigorous Real-Time Image Intensifier (NVG) Simulation Design

Award Year / Program / Phase: 2001 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Joseph Russell Moulton, Jr., Principal Analyst
Award Amount: $70,000.00
Abstract:
This Phase I effort will establish rigorous technical requirements necessary to simulate image intensifiers (NVGs) credibly and realistically in US Army NVG simulators. The associated analysis and requirements definition will cover such areas asintra-scene and intensifier dynamic range and spatial… More

A Low-Cost, GIS Spectral Scene Simulator for High Field Data Correlation

Award Year / Program / Phase: 2003 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Christopher Fink
Award Amount: $750,000.00
Abstract:
JRM Technologies, Inc., in conjunction with TerraSim and Surface Optics, propose to transition JRM's successful Phase I physics-based 0.4-25 um spectral ray-tracer into a complete, validated simulator prototype, capable of realistic tactical hyper-spectralscenarios from arbitrary GIS data… More

Rigorous Real-Time Image Intesifier (NVG) Simulation Design

Award Year / Program / Phase: 2003 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $729,955.00
Abstract:
This Phase II effort develops a comprehensive set of physics-based, predictive spectral signature, atmospheric and sensor effects tools advancing Night Vision simulation for both advanced concept studies and low-cost military training applications.Signature phenomenology advancements include… More

A Context-Based, Signature-Predictive Classifier for Automated, Robust Material-Encoded Textures

Award Year / Program / Phase: 2003 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $69,997.00
Abstract:
JRM proposes a novel context-dependent, signature-based approach to improve the automation and quality of material-classification of imagery and arbitrary n-channel remote-sensed data. In the Phase I, JRM will design three key components: (1) anautomated N-channel signature-predictive material… More

Scalable Fidelity - Performance IR Scene Generation Technologies for the Sensor Analyst

Award Year / Program / Phase: 2004 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $99,976.00
Abstract:
JRM Technologies proposes to develop a comprehensive, PC-based, high-fidelity physics-based IR scene generation system as a reliable alternative to field data for the evaluation of emerging IR sensor designs. In order to provide the sensor analyst a complete end-to-end product that will afford… More

Scalable Fidelity - Performance IR Scene Generation Technologies for the Sensor Analyst

Award Year / Program / Phase: 2004 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen
Award Amount: $749,996.00
Abstract:
JRM proposes to integrate advanced high-fidelity thermal modeling techniques into it's existing AFRL hyper-spectral scene simulator to produce a comprehensive, full-scene scalable-fidelity-performance (SFP) simulation system for the IR sensor analyst. The Phase II effort will implement the… More

Modeling and Simulation Technologies for Multi-Sensor Dynamic Targeting

Award Year / Program / Phase: 2004 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $99,960.00
Abstract:
JRM proposes to develop a scalable-fidelity-performance simulation system for the exploration of multi-sensor suites and ATR algorithms addressing the problem of mobile target acquisition in large-scale, dynamic, and widely varying environmental scenarios. This simulation system will provide for… More

Infrared/Electro-Optic Detectability of Small Targets at Sea

Award Year / Program / Phase: 2004 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Bill Seng, Principal Investigator
Award Amount: $69,971.00
Abstract:
JRM Technologies proposes to develop innovative new vision- and figure-of-merit-based models for search and target acquisition performance prediction of EO-IR sensors against small tactical sea-based targets. These models will directly address the limitations of traditional land-based models like… More

A Context-Based, Signature-Predictive Classifier for Automated, Robust Material-Encoded Textures

Award Year / Program / Phase: 2005 / SBIR / Phase II
Agency / Branch: DOD / NAVY
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $749,998.00
Abstract:
JRM proposes a novel context-dependent, signature-based approach to improve the automation and quality of material-classification of imagery and arbitrary n-channel remote-sensed data. In the Phase I, JRM will design three key components: (1) an automated N-channel signature-predictive material… More

Infrared/Electro-Optic Detectability of Small Targets at Sea

Award Year / Program / Phase: 2005 / SBIR / Phase II
Agency / Branch: DOD / NAVY
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $550,106.00
Abstract:
JRM Technologies proposes to develop innovative new vision- and figure-of-merit-based models for search and target acquisition performance prediction of EO-IR sensors against small tactical sea-based targets. These models will directly address the limitations of traditional land-based models like… More

New Algorithms for Fast RF Synthesis of Ground Targets in Arbitrary Clutter for Combat ID and ATR

Award Year / Program / Phase: 2005 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $99,998.00
Abstract:
JRM Technologies, and it's team member SAIC DEMACO propose to develop an innovative new approach for fast, high-fidelity RF signature prediction of ground targets in arbitrarily-complex background-clutter. The Phase I effort will design an algorithmic approach for synthesizing more comprehensive… More

New Algorithms for Fast RF Synthesis of Ground Targets in Arbitrary Clutter for Combat ID and ATR

Award Year / Program / Phase: 2006 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $749,968.00
Abstract:
JRM Technologies and SAIC Demaco propose the Phase II development of an innovative global bi-static 3D object model "RF transfer function" for fast, high-fidelity RF signature prediction of ground targets in arbitrarily-complex background-clutter. Such compact model representations can then be… More

Correlated Multi-Sensor "Target Chip" Generator and Target Constructor for ATR in Arbitrary Background Clutter Environments

Award Year / Program / Phase: 2006 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: John Helmsen, Principal Investigator
Award Amount: $99,999.00
Abstract:
JRM Technologies proposes to develop the Correlated Multi-Sensor "Target Chip" Generator for ATR and Feature Extraction in Arbitrary Background Clutter Environments, an innovative new approach for generating credible libraries of target signature chips as a function of user-defined angles and… More

High Speed Active RF Synthetic Scene Generation

Award Year / Program / Phase: 2007 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Christopher Fink, PRINCIPAL INVESTIGATOR
Award Amount: $99,995.00
Abstract:
JRM Technologies, and its team member SAIC, DEMACO propose to develop an innovative new approach for fast, high-fidelity active RF Synthetic Scene Generation ideally suited for bi-static transmitter/multiple-receiver scenarios. The Phase I effort will refine an algorithmic approach for a… More

Urban Illumination for Soldier Simulations and Close-Combat Target Acquisition

Award Year / Program / Phase: 2008 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $69,997.00
Abstract:
JRM Technologies proposes to develop a high-performance physics-based algorithm for TAWS prediction of urban scene EO/NIR light levels, as seen from arbitrary vantage points. The software implementation will apply radiosity techniques using area discretization of scene elements, but will… More

High Dynamic Range Sensor Simulation

Award Year / Program / Phase: 2008 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $149,999.00
Abstract:
JRM Technologies proposes to develop a comprehensive set of innovations for high dynamic range (HDR) and high-fidelity (HF) advancements in real-time sensor simulation of night imaging devices like NVG, FLIR and SAR. The Phase I effort will perform design and proof-of-concept studies to address… More

High Dynamic Range Sensor Simulation

Award Year / Program / Phase: 2009 / SBIR / Phase II
Agency / Branch: DOD / NAVY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $749,988.00
Abstract:
In this Phase II effort, JRM will develop and incorporate dramatic HDR improvements to its suite of real-time sensor libraries to facilitate high-fidelity sensor training and simulation. These libraries are IG-independent, OS-independent and Scene-Graph independent, so the new HDR sensor simulation… More

Material Classification for Physics-Based Sensor Simulation Using Stereo-Pair Imagery

Award Year / Program / Phase: 2009 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $80,000.00
Abstract:
The recent deployment of high-resolution stereo-imaging sensors aboard satellites affords a unique opportunity to to derive more realistic material classified terrain terrain databases for physics-based sensor and mission trainers. JRM is uniquely experienced and qualified in the many technology… More

Urban Illumination for Soldier Simulations and Close-Combat Target Acquisition

Award Year / Program / Phase: 2010 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $729,996.00
Abstract:
JRM Technologies proposes to develop a high-performance physics-based algorithm for prediction of urban scene EO/NIR light levels, as seen from arbitrary vantage points. The algorithms will start with the complicated geometry of buildings, roads, etc., to perform a Monte-Carlo radiance calculation… More

Correlated Radar Clutter Map Creation for Multi-spectral Scene Generation

Award Year / Program / Phase: 2010 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Christopher Fink, Principal Investigator
Award Amount: $69,999.00
Abstract:
This SBIR affords the opportunity to design a high-speed, spatially correlated, RF clutter map generator that meets the Army's requirements for testing and evaluating integrated flight simulations at AMRDEC. A successful design will input known terrain height and class maps, model the coupled,… More

High Speed Representation of Complex Scenes

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Christopher Fink, Principal Investigator – (540) 371-6590
Award Amount: $99,991.00
Abstract:
JRM and DVC propose to develop an innovative approach for on-the-fly (OTF) 3D scene synthesis and physics-based sensor rendering of complex battlespace environments directly from GIS source data at HWIL frame rates (100-400Hz). This approach will carefully address all the requirements for MDA,… More

Geospecific Displacement Maps for Real Time, Stereoscopic Training Simulation

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Christopher Fink, Principal Investigator – (540) 371-6590
Award Amount: $80,000.00
Abstract:
JRM proposes a new 3D material-classified displacement-map (MCDM) approach with associated automated algorithms for rapid terrain database generation directly from geo-specific source data. The MCDMs will exploit the latest nVidia GPU displacement map shader technology for highly-realistic real-time… More

A Lightweight, Flexible, Scalable Approach to Trainer Systems

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Chris Fink, Principal Investigator – (540) 786-0608
Award Amount: $79,993.00
Abstract:
JRM and VT MK propose an innovative, high-performance approach to the modeling and simulation of remote sensing platforms like the MH60, their respective full-spectrum sensors, and associated navy tactical data links. that is platform-independent, scaleable, and provides for physics-based… More

Virtual War Games

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Chris Fink, Principal Investigator – (540) 786-0608
Award Amount: $79,183.00
Abstract:
JRM and Advanced Gaming Solutions Inc, along with Calytrix Technologies, propose to develop a comprehensive Virtual War Game capability for Naval Warfare, focusing particularly on physics-based full-spectrum representation of SPAWAR C4I systems for highly realistic, real-time training for all Navy… More

Rapid Scene Creation for Multispectral Terrain Signature Models and Simulations

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: DOD
Principal Investigator: Karl Leodler, Project Leader – (540) 498-7770
Award Amount: $99,988.00
Abstract:
JRM and DVC propose significant innovations around our powerful OSCRE architecture for rapid scene generation directly from raw terrain source data. OSCRE requires: high-resolution DEM data input, complete shape file/vector maps, and high-resolution satellite imagery. With these inputs, OSCRE… More

Material Classification for Physics-Based Sensor Simulation Using Stereo-Pair Imagery

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency: DOD
Principal Investigator: Christopher Fink, Principal Investigator – (540) 371-6590
Award Amount: $749,875.00
Abstract:
JRM proposes to leverage its Phase I design work to develop Phase II improvements in its material classification algorithms and software, particularly improvements leveraging spatial data available from stereo pair satellite imaging data sources. Specific Phase II innovations: Improved material… More

High Speed Representation of Complex Scenes

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency: DOD
Principal Investigator: Karl Leodler, PROJECT MAMANGER – (540) 498-7770
Award Amount: $990,682.00
Abstract:
Leveraging Phase I design and proof-of-concept demonstration software, JRM proposes to develop Phase II prototype simulation software called OSCRE ("On-the-fly Scene Construction and Rendering Engine") to provide FLITES support for large-area, complex backgrounds. This Phase II prototype… More

A Lightweight, Flexible, Scalable Approach to Trainer Systems

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency: DOD
Principal Investigator: Karl Leodler, Project Manager – (540) 371-6590
Award Amount: $744,074.00
Abstract:
The MH-60R sensor systems being integrated into the Aircraft Carrier Tactical Support Centers (CV-TSC) introduce multiple heterogeneous sensor streams of remotely linked data for which training is essential for effective mission execution. These new support centers utilize modern service based… More